About The Role We are looking for a highly motivated Manager- Data Analytics with strong technical, analytical, and business skills to drive data-driven decision-making across our loyalty management and agri-tech solutions. The ideal candidate will lead data efforts from insight generation to performance measurement and automation, influencing strategies across customer engagement, partner loyalty, and agri-input intelligence.

Key Responsibilities Lead the development of analytics solutions across loyalty and agri-tech domains.

Design, manage, and optimize dashboards and reports that support business KPIs like redemptions, partner performance, campaign ROI, and seasonal agri trends.

Collaborate with cross-functional teams – marketing, ops, product, and sales – to translate business questions into data insights.

Build and maintain ETL pipelines that source data from loyalty platforms, CRMs, ERP, mobile apps, and IoT/field devices.

Conduct deep-dive analysis on partner segmentation, user behavior, product adoption, and redemption patterns.

Implement predictive models for churn, redemptions, crop-linked SKU forecasting, and personalized incentives.

Own data quality, security, and governance policies.

Mentor junior analysts and drive adoption of data tools across teams.

Required Skills & Experience Technical Expertise SQL (Advanced), Python

Data visualization tools: Power BI / Google Data Studio / Superset / Metabase

ETL Tools: Airflow, dbt, Talend, custom Python pipelines

Cloud: Digital Ocean, AWS, or Azure

Data Modeling & Schema Design (Star/Snowflake) Analytical Strength Advanced understanding of A/B testing (Split/bucket testing), segmentation, LTV, churn, funnel conversion, and seasonality analytics





Ability to create actionable dashboards for marketing, sales, and agri-advisory teams

Experience with geospatial analysis and agri-data like crop cycles, regions, and agri-input usage Business Alignment Domain knowledge in loyalty programs, channel sales ecosystems, and agri-tech workflows

Experience working with distributors, retailers, dealers, and farmer engagement metrics

Solid communication and data storytelling skills KPIs You Will Influence Loyalty redemption rate & partner engagement index

Churn prediction accuracy

SKU-level forecasting (Both for Loyalty and Agri input sales)

Dashboard usage & insight turnaround time

Time-to-decision for campaign performance Qualifications Bachelor’s or master’s in engineering, Data Science, Economics, or related fields

5+ years of experience in analytics roles, preferably in SaaS, Loyalty Tech, or Agri-Tech

Proven track record of handling end-to-end analytics projects and stakeholder communication Preferred Traits Curiosity-driven mindset

Structured problem-solving

Bias for action and ownership

Strong business communication Why Join Us? Work with thought leaders and industry experts in the AgriTech and Loyalty space.

Opportunity to collaborate with directors and senior leadership on strategic projects.

Freedom to explore new technologies and contribute to product innovation.

A energetic and fast-paced workplace that fosters growth, learning, and career advancement.

Competitive compensation, benefits, and a culture that values work-life balance. If you’re a highly driven data analyst with a passion for building scalable, high-quality & insightful data outputs, measurable insights and data visualization then we’d love to hear from you!

📌 Manager – Data Analytics (Bengaluru)
🏢 Elevatoz AgriTech
📍 Bengaluru